Harsha Vardhan Simhadri

Harsha Vardhan Simhadri is a Partner Researcher at Microsoft Azure, where he focuses on algorithms and systems for large-scale vector search and unstructured data indexing. He is a co‑creator of DiskANN, a widely adopted approximate nearest neighbor search library that bridges the gap between research and production-scale deployments and is used across Microsoft and the broader industry. He is interested in developing practical and resource-efficient algorithms and machine learning systems for extreme scale systems, small and large. Harsha earned his PhD in Computer Science from Carnegie Mellon University. His work has been published at leading systems and machine learning venues, including NeurIPS, ICML, WWW, and VLDB, and has had significant impact on both research, benchmarks and production systems.